Therefore, the z2LFMC device combines high-speed with high-resolution. We demonstrate the suitability of the z2LFMC devices for carrying out fast and efficient biopharmaceutical separations through two case studies, i.e. the fractionation of monoclonal antibody charge variants, and monoclonal antibody aggregates separation.Immobilized metal affinity chromatography (IMAC) is a technique primarily used in research and development laboratories to purify proteins containing engineered histidine tags. Although this type of chromatography is commonly used, it can be problematic as differing combinations of resins and metal chelators can result in highly variable chromatographic performance and product quality results. To generate a robust IMAC purification process, the binding differences of resin and metal chelator combinations were studied by generating breakthrough curves with a poly-histidine tagged bispecific protein. The optimal binding combination was statistically analyzed to determine the impact of chromatographic parameters on the operation. Additionally, equilibrium uptake isotherms were created to further elucidate the impact of chromatographic parameters on the binding of protein. It was found that for protein expressed in CHO cells, Millipore Sigma's Fractogel EMD Chelate (M) charged with Zn2+ and GE's pre-charged Ni Sear weights and formats expressed in either HEK-293 or CHO cells were successfully purified.To facilitate faster selectivity evaluation of wall-coated, open-tubular columns using the solvation parameter model a reduced set of calibration compounds is identified and validated for the temperature ranges 60-140 °C and 160-260 °C. The Kennard-Stone uniform mapping algorithm is used to identify the calibration compounds from a larger database of compounds with known retention properties previously adopted for column selectivity evaluation. Thirty-five compounds for each temperature range are required to minimize the standard deviation of the system constants used for selectivity evaluation and to minimize differences between system constants determined by conventional calibration and the reduced calibration compounds. The models for the reduced calibration compounds on ten siloxane-based and poly(ethylene glycol) stationary phases have a coefficient of determination of 0.984 to 0.998 and standard error of the estimate of 0.012 to 0.30. The predictive capability of models is evaluated for the reduced sets of calibration compounds using external test sets with ranking of the calibration models by changes in the average error, average absolute error and root mean square error of prediction for the test sets. For the selected thirty-five reduced calibration compounds the range for the average absolute error was 0.014 to 0.033 and 0.016 to 0.040 for the root mean square error of prediction for the independent test sets.This review synthesizes the latest advances in the psychology behind consumption of luxury objects and experiences to which people typically feel strongly attached. We discuss novel drivers, forms, and consequences of luxury consumption from recent research. We propose that the psychology of luxury consumption is governed by a set of tensions between what luxury means to the self and the external forces that define luxury consumption. These tensions shape consumer behavior, from the level of desire for luxury products and services, to the types of signals viewed as luxury and acquired and displayed as such, and to post-consumption consequences of consuming luxury. We discuss how this tension-based framework offers future opportunities for the study of the drivers, forms, and consequences of luxury consumption.Modeling the shape of the scalp and face is essential for the design of protective helmets and other head-borne equipment. However, head anthropometry studies using optical scanning rarely capture scalp shape because of hair interference. Data on scalp shape is available from bald men, but female data are generally not available. To address this issue, scalp shape was digitized in an ethnically diverse sample of 100 adult women, age 18-59, under a protocol that included whole head surface scanning and scalp measurement using a three-dimensional (3D) coordinate digitizer. A combined male and female sample was created by adding 3D surface scans of a similarly diverse sample of 80 bald men. A statistical head shape model was created by standardizing the head scan data. A total of 58 anatomical head landmarks and 12 head dimensions were obtained from each scan and processed along with the scans. A parametric model accounting for the variability of the head shape under the hair as a function of selected head dimensions was developed. The full-variable model has a mean shape error of 3.8 mm; the 95th percentile error was 7.4 mm, which were measured at the vertices. The model will be particularly useful for generating a series of representing a target population as well as for generating subject-specific head shapes along with predicted landmarks and dimensions. The model is publicly available online at http//humanshape.org/head/.Antibiotic-resistant infections cause over 20 thousand deaths and $20 billion annually in the United States. Antibiotic prescribing decision making can be described as a "tragedy of the commons" behavioral economics problem, for which individual best interests affecting human decision-making lead to suboptimal societal antibiotic overuse. In 2015, the U.S. federal government announced a $1.2 billion National Action Plan to combat resistance and reduce antibiotic use by 20% in inpatient settings and 50% in outpatient settings by 2020. We develop and apply a behavioral economics model based on game theory and "tragedy of the commons" concepts to help illustrate why rational individuals may not practice ideal stewardship and how to potentially structure three specific alternate approaches to accomplish these objectives (collective cooperative management, usage taxes, resistance penalties), based on Ostrom's economic governance principles. https://www.selleckchem.com/products/BIBW2992.html Importantly, while each approach can effectively incentivize ideal stewardship, the latter two do so with 10-30% lower utility to all providers.